Validation and Refinement of Fluid Dynamics Models for Vacuum Pressure Relief Valves Based on Data Analysis

In the advancement of modern industry and technology, vacuum pressure relief valves play a pivotal role across various fields.Traditional physical experimental approaches face limitations such as high costs, limited flexibility, and incomplete data collection.This study leverages a virtual simulation platform to focus on the validation and refinement of fluid dynamics models for vacuum pressure relief valves.By innovatively employing a multisoftware integrated modeling and simulation strategy, the study optimizes models through data-driven analysis and establishes a dynamic adaptive correction mechanism.Based on the operating principles of vacuum pressure relief valves and fluid dynamics theory, the research involves model construction, simulation experiment design, and data collection.Techniques such as data correlation analysis and error metric evaluation are employed for model validation, and targeted correction strategies are developed to address error sources.The corrected model is further validated following intelligent parameter optimization.Results demonstrate significant improvements in key performance indicators, providing robust technical support for advancements in the vacuum pressure relief valve domain.

Authors

Publication Details

Journal
International Journal of Heat and Technology
Published
2024-12-31
DOI
https://doi.org/10.18280/ijht.420634
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation and Refinement of Fluid Dynamics Models for Vacuum Pressure Relief Valves Based on Data Analysis

Lili Shi, Zhiliang Xia
International Journal of Heat and Technology
Hydraulic and Pneumatic Systems
article

Validation and Refinement of Fluid Dynamics Models for Vacuum Pressure Relief Valves Based on Data Analysis

Lili Shi, Zhiliang Xia
article en

Abstract

In the advancement of modern industry and technology, vacuum pressure relief valves play a pivotal role across various fields.Traditional physical experimental approaches face limitations such as high costs, limited flexibility, and incomplete data collection.This study leverages a virtual simulation platform to focus on the validation and refinement of fluid dynamics models for vacuum pressure relief valves.By innovatively employing a multisoftware integrated modeling and simulation strategy, the study optimizes models through data-driven analysis and establishes a dynamic adaptive correction mechanism.Based on the operating principles of vacuum pressure relief valves and fluid dynamics theory, the research involves model construction, simulation experiment design, and data collection.Techniques such as data correlation analysis and error metric evaluation are employed for model validation, and targeted correction strategies are developed to address error sources.The corrected model is further validated following intelligent parameter optimization.Results demonstrate significant improvements in key performance indicators, providing robust technical support for advancements in the vacuum pressure relief valve domain.

International Journal of Heat and TechnologyVol. 42(6)
Wenzhou Municipal Science and Technology Bureau
Climate action
Openalex Percentile: Top 74%
Hydraulic and Pneumatic Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Validation and Refinement of Fluid Dynamics Models for Vacuum Pressure Relief Valves Based on Data Analysis — Lili Shi, Zhiliang Xia · International Journal of Heat and Technology (2024) | TGRS Research Map | TGRS